{"id":"W2089201173","doi":"10.1145/2629530","title":"Trust Prediction via Belief Propagation","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Information Systems","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Computer science; Belief propagation; Graphical model; Factor graph; Probabilistic logic; Inference; Exploit; Machine learning; Expectation propagation; Artificial intelligence; Solver; Propagation of uncertainty; Theoretical computer science; Approximate inference; Data mining; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003224756,0.0001632878,0.0001480728,0.0003136652,0.0003518086,0.0002473788,0.0005808491,0.0001141006,0.000007352907],"category_scores_gemma":[0.0000303427,0.0001514375,0.00007112646,0.0006537302,0.00002787635,0.00463226,0.000009643823,0.0002178332,0.0003287577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008472865,"about_ca_system_score_gemma":0.00001931032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002039712,"about_ca_topic_score_gemma":0.000001342336,"domain_scores_codex":[0.9984913,0.00009147198,0.0005555032,0.000192196,0.0004418067,0.0002276921],"domain_scores_gemma":[0.9985331,0.00008229535,0.0002374731,0.0008693134,0.000181363,0.00009648818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000277731,0.00006896829,0.00007760137,0.00009356939,0.00003440584,3.657356e-7,0.001148948,0.433894,0.0001871757,0.018171,0.0006198761,0.5456763],"study_design_scores_gemma":[0.0006140313,0.0002704463,0.0009785829,0.00006312013,0.000008843835,0.0000495468,0.00007140393,0.9511583,0.001056498,0.001272174,0.04421347,0.0002435928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007944592,0.000007790103,0.9937553,0.0003895485,0.001798559,0.0004905229,0.000009673161,0.0006374403,0.002116736],"genre_scores_gemma":[0.9905234,0.000009841814,0.008697668,0.0002963983,0.0001216956,0.0001843588,0.00002498005,0.00000862634,0.0001330555],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9897289,"threshold_uncertainty_score":0.6175442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00904383903233889,"score_gpt":0.2117986592574942,"score_spread":0.2027548202251554,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}